Secureframe MCP Server provides read-only access to Secureframe's compliance automation platform via the Model Context Protocol. It enables AI assistants such as Claude and Cursor to query security controls, monitor compliance tests, and access audit data across multiple frameworks, including SOC 2, ISO 27001, CMMC, and FedRAMP. The server is in public beta and strictly read-only, meaning it does not perform write operations against customer data; however, users should review and validate AI-generated insights before making any compliance or security decisions. The Quick Start outlines prerequisites (Python 3.7+, Secureframe API credentials, and an MCP-compatible tool) and deployment steps. The server exposes 11 read-only tools for discovery and cross-framework analysis, such as listing controls, tests, users, devices, vendor information, frameworks, and repositories, as well as integration connections and repository scopes. Operational guidance emphasizes the use of Lucene query syntax for filtering and the need to protect API credentials with proper environment configuration. This setup aims to empower AI-assisted compliance review while maintaining data read integrity and security posture visibility.